APrimerOn R Tutorial

8/9/2019 APrimerOn R Tutorial

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Introduction to R

(a tutorial)

Gerardo Soto-Campos, PhD

Modeling Health

www.modelinghealth.com
http://www.modelinghealth.com/http://www.modelinghealth.com/


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PART I

The Basics

Modeling Health, LLC 2


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What is R?

R is an inexpensive, well maintained, free, andbeautiful language to do statistical programmingand graphics.Actually it is more than that. It is the way of doing statistics

for the future.

It can be used to build whole modeling and simulationenvironments.

R is the good-twin of S and S-Plus, an expensive

program developed at Bell Labs by Becker,Chambers, and Wilks. One day, when you know R well, read Chambers book

(Chamber 2008)

Modeling Health, LLC

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R expected to take over the data world by2015 true/false?...

RA Muenchen in theblog r4stats.com

Predicts R taking over

SAS by 2015:http://r4stats.com/articles/popularity/

Plot of # of paperspublished in R, Stata,SAS, SPSS, and S-Plus

http://r4stats.com/articles/popularity/http://r4stats.com/articles/popularity/http://r4stats.com/articles/popularity/http://r4stats.com/articles/popularity/http://r4stats.com/articles/popularity/


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How to get R

Download it from the R project site:

http://www.r-project.org/

It works in any platform: Windows, Mac and Linux.

Mexico has two mirrors at: ITAM: http:

http://cran.itam.mx/

Colegio de Postgraduados de Texcoco:

http://www.est.colpos.mx/R-mirror/

* Si trabajamos duro podria haber uno mas en Pachuca Hgo.

http://www.r-project.org/http://cran.itam.mx/http://www.est.colpos.mx/R-mirror/http://www.est.colpos.mx/R-mirror/http://www.est.colpos.mx/R-mirror/http://www.est.colpos.mx/R-mirror/http://www.est.colpos.mx/R-mirror/http://www.est.colpos.mx/R-mirror/http://cran.itam.mx/http://www.r-project.org/http://www.r-project.org/http://www.r-project.org/http://www.r-project.org/http://www.r-project.org/


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R IDE, decent but there is better



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Better integrated development environments (IDEs) to run

R: Rstudio, Eclipse, Emacs, Revolution Analytics


Rstudio http://rstudio.org/ (easy to configure, one of my favorites)

Eclipse http://eclipse.org/ (Requires StatET plugging, the favorite

among computer nerds, it also supports java, python, C++,not too easy to configure)

Emacs http://www.gnu.org/software/emacs/ (an old and ugly classic.

I neither use it nor like it)

Revolution Analytics R http://www.revolutionanalytics.com/(a commercial version of

R, excellent packages to handle BIG data, smart people, lotsof webcasts, great service, free for academics)
http://rstudio.org/http://eclipse.org/http://www.gnu.org/software/emacs/http://www.revolutionanalytics.com/http://www.revolutionanalytics.com/http://www.revolutionanalytics.com/http://www.gnu.org/software/emacs/http://www.gnu.org/software/emacs/http://eclipse.org/http://eclipse.org/http://rstudio.org/http://rstudio.org/


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Two more things

The bioinformatics community has a specific softwarewritten in R called Bioconductor: http://www.bioconductor.org/

Bioconductor is specific for genomics, and can be use to run in

the Amazon cloud Bioconductor can also be run as an R package called from

Rstudio using standard R.

Revolution Analytics R Revolution Analytics has a standard version of R, called

Revolution R. It is free and can be ran from RStudio or thestandard R GUI

Revolution Enterprise costs money, it has a great GUI, and

excellent packages. It can be customized to run in the cloud. Modeling Health, LLC

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http://www.bioconductor.org/http://www.bioconductor.org/http://www.bioconductor.org/


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Most of this deck will deal with RStudio

www.rstudio.org

Download andinstall it for linux,

Mac or windows In windows is

extremely easy toconfigure

In linux is not soeasy to configure:

Ask CARLOS



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A session on R in RStudio

Open Rstudio

In the Rstudio menu go to Project -> NewProject

Say New Directory I chose C:/Users/jerry/R2.13.0/Rdemo/primerOnR/tutorialOnR



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Parts of the R session in RStudio

Console It is the working horse of Rstudio

Use it to test things you dont care to loose

In general it is not a good idea to develop code in the console

R Scripts Go to File -> New -> R Script -> Save As -> aScriptName.R

I call it Rtutorial.R

Comments are coded with symbol: #



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R objects and data structures

Everything in R is anobject in the sense ofobject orientedprograming

Data Types Double- Integer Complex Logical Factors Character Missing data

Data Structures Numbers Vectors Matrices

Lists Data.frames Strings

IMPORTANT R is case sensitive



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R Help

In the console enter:

help(aDataStructure):

help(vector)

help(matrix)

help(factor)

Useful reference cardfor R:

http://cran.r-

project.org/doc/contrib/Short-refcard.pdf

http://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdfhttp://cran.r-project.org/doc/contrib/Short-refcard.pdf


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Working Directory, Image, and History

Creating projects in RStudio directly sets the workingdirectory In the console type

getwd()

To set the working directory from the console: setwd(aDirctoryPath)

Image Binary containing all the objects defined in an R session

save.image(. RTutorialImage) #at the end of the session

load.image(.RTutorialImage) # at the beginning of the session

History save.history(.RTutorialHistory) #at the end of session

load.history(. RTutorialHistory) #at the start of session



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Vectors

In the script type:

vec1


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Matrices: algebra of matrices remains

mat1


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Factors

Factors are useful variables in R taking on a limitednumber of values called levels.

Useful for statistical modeling

Example data=c(1,2,2,3,1,2,3,3,1,2,3,3,1) ; as.factor(data) [1] 1 2 2 3 1 2 3 3 1 2 3 3 1

Levels: 1 2 3

summary(as.factor(data)) # summary of data as factors

1 2 3

4 4 5


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Lists

This is a veryversatile and important data structure Very useful in modeling and simulation

Technically a list is a recursive vector.

You can save any object in a list. Example agent


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data.frames

A list with a column vector on each column (see Matloff)

Useful structures to manipulate information with objectsfrom different classes.

Example

df1


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Strings

Knowing how to handle character strings is useful whenprogramming.

Commands grep("character",c("Knowing"," how"," to"," handle"," character","

strings"," is"," useful")).

paste("Knowing how to handle character strings is useful whenprogramming")

substr("Knowing how to handle character strings is useful whenprogramming",1,7)

nchar("Knowing how to handle character strings is useful whenprogramming")


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Dates and Times

as.Date('1960-7-21')

as.Date('1/30/2012',format='%m/%d/%Y')


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Input I

To do anything interesting with R we need to know how to readand write data into and out of it.

Reading CSV files

Example with data from the National Health and Nutrition Survey 03-

04 (NHANES 03-04) http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htm

Information on: Demographics; Dietary; Examination; Laboratory

For Demographics the list of available variables is:http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htm

The data comes in a format called xpt xpt is an export file from the SAS software, which is what the NHaNES

people used.

We need to install the package foreign

install.packages(foreign) or use RStudio Packages tab


http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/vardemo_c.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htmhttp://www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htm


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Input II

Save demo_c.xpt locally

demo0304




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Input III

CSV From Local Directory

read.csv(directoryLocation/fileName.csv,header=TRUE)

From URL

csvFile


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Output

With the package foreign

Let us use the file csvFile defined in the previous slide

STATA write.dta(csvFile,dtaFile.dta) #writes a dta file in working directory

SAS binary write.foreign(csvFile,sasFile.dat,sasFile.sas,package=SAS) # writes a .DAT sas file in the workingdirectory

CSV write.csv(csvFile,"csvFile.csv") # writes a CSV file in the working

directory




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PART II

Programming Tools




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for () loops

Syntax for (j in 1:N) {statements}

EXAMPLE

Vec5


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Conditionals: if{ } then{} else{}

Read the csvFile from previous section

csvFile


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Programming functions in R Syntax

functionName


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Useful Tools for R programming

fix(functionName) # allows to edit changes in the function Example: fix(raceDist)

Debug(functionName) #walks the code of a function lineby line

After invoking debug() the browser command appears Commands:

n gives the next line in browser-mode.

c continues the function until the end.

Q quits the browser-mode.

Example debug(raceDist)

In the console try: raceDist(csvFile)

IMPORTANT: after debugging have to run undebug(raceDist)




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PART III

III.1 Data Analysis in RIII.2 Data Modeling in R

g , 31



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Data analysis in R. 1

This is an extensive field in data analysis.

R is provided with a large number of functions to performanalysis: mean(), sd(), summary(),max(), min(), etc

In practice, we will use the package rattle() written andmaintained by Dr. Graham Williams

Install.packages(rattle) This steps is straightforward buy it involves multiple packages

install.packages(rattle)

Once rattle is installed invoke it in the console as: rattle()

g ,



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Data Analysis in R. 2

Load rattle(), andinvoke it in the console

We will analyze the

data from csvFile. The data gets loadedinto the session whenthe R image gets

loaded: load(".RTutorialImage")

See snapshot of rattlesIDE on the right panel:

g ,



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Reading data into rattle

Make sure the objectcsvFile is in yousession, i.e. type

objects() in theconsole and check

Select the R Datasetoption

In the box DataName, locate csvFile

Click Execute. Thefollowing opens:

g



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Exploring data distributions

Go to tab Explore inrattle

As an example, I

selected the age as avariable to explore.

The boxplot,histogram, cumulative,

and Benfordsplotsappear to the right.

More variables couldbe used.



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Multiple regression model Variables: i4=average drinks per day Age=age of individual Substance=alcohol/cocaine/heroine Model: how does i4 depend on age and substance

Estimate Std. Error t value Pr(>|t|) (Intercept) 18.2545 5.7713 3.163 0.00171 ** age 0.3341 0.1441 2.319 0.02106 * substancecocaine -17.5678 2.6301 -6.679 1.10e-10 *** substanceheroin -20.0985 2.7334 -7.353 1.71e-12 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 19.18 on 313 degrees of freedom

Multiple R-squared: 0.2183, Adjusted R-squared: 0.2108

F-statistic: 29.14 on 3 and 313 DF, p-value: < 2.2e-16

==== ANOVA ====

Analysis of Variance Table

Response: i1 Df Sum Sq Mean Sq F value Pr(>F) age 1 7669 7669.4 20.847 7.159e-06 *** substance 2 24490 12245.2 33.285 7.825e-14 *** Residuals 313 115149 367.9



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Rattle give the option to build othermodels (beyond our scope)

Trees

Random Forests

Neural Networks



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R has world support

A plethora of developers with different specialties maintainand improve R

Packages with multiple applications have to undergo acode per-review from the R project: http://www.r-

project.org/index.html

CRAN supports

http://www.r-project.org/index.htmlhttp://www.r-project.org/index.htmlhttp://www.r-project.org/index.htmlhttp://www.r-project.org/index.htmlhttp://www.r-project.org/index.htmlhttp://www.r-project.org/index.html


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Applications of R in Biomedical Sciences

There is no time to treat this topic with detail

The reader is encourage to check it on her/his own: http://a-little-book-of-r-for-biomedical-

statistics.readthedocs.org/en/latest/src/biomedicalstats.html#

http://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.htmlhttp://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/en/latest/src/biomedicalstats.html


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PART IV

Graphs in R



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X-Y plotting

Use the csvFile data

plot(csvFile$age,csvFile$pcs,xlab=Age(y),yl

ab=MCS,main=Plot ofthe Mental CompositeScore Versus age inthe HELP study)



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3D plots

library(rgl) #load rglpackage

plot(csvFile$age,csvFil

e$pcs,csvFile$cesd,xlab=Age(y),ylab=MCS,main=Plot of theMental Composite

Score Versus age inthe HELP study)



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PART IV: ADVANCED TOPICS

IN R (FOR THE FUTURE)

Object Oriented Programming in RParallel Programming

R Programming in the Cloud

Numerical Simulations in R



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A personal suggestion/opinion Start easy and build up in complexity

Learn R with Lams book then move to more advanced works, i.e. useChambers book when you are VERY comfortable with R

Pick up any interesting problem you want to solve, then goahead and do it in R. Examples:

Financial time series Stochastic Processes Pharmacoeconomics Physiological modeling, Etc

Get familiar with the relevant R packages at CRAN: http://cran.r-

project.org/web/packages/available_packages_by_name.html Subcribe to R-bloggers: http://www.r-bloggers.com/ Form an R meetup users group Dont study R, use it and have fun with it.

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http://cran.r-project.org/web/packages/available_packages_by_name.htmlhttp://cran.r-project.org/web/packages/available_packages_by_name.htmlhttp://www.r-bloggers.com/http://www.r-bloggers.com/http://www.r-bloggers.com/http://www.r-bloggers.com/http://www.r-bloggers.com/http://cran.r-project.org/web/packages/available_packages_by_name.htmlhttp://cran.r-project.org/web/packages/available_packages_by_name.htmlhttp://cran.r-project.org/web/packages/available_packages_by_name.htmlhttp://cran.r-project.org/web/packages/available_packages_by_name.html


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Bibliography 1

Braun WJ and Murdoch DJ, A first course in statistical programming with R (Cambridge UP, CambridgeUK, 2007)

Excellent book for beginers.

Chambers JM (2008) Software for Data Analysis: http://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdf

This is an advanced book!!!

Coghlan Avril (2012) A Little Book of R for Biomedical Statistics: https://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdf

Journal of Statistical Software, http://www.jstatsoft.org/ Excellent source of papers on diverse statistical applications. Many of the papers are R packages.

Kainman K and Horton NJ, SAS and R (CRC Press, New York NY, 2010) Great book with lots of examples. Excellent if you come to R from SAS.

Lam, L (2010) An introduction to R: http://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdf This is the best intro book on R I know.

Maindonald J and Braun WJ, Data Analysis and Graphics Using R (Cambridge UP, Cambridge UK, 2010) Third Edition. An excellent reference. Not for the beginner, it assumes a lot of background in R. Also the notation is very compact.

Modeling Health, LLC

http://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttp://www.jstatsoft.org/http://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://cran.r-project.org/doc/contrib/Lam-IntroductionToR_LHL.pdfhttp://www.jstatsoft.org/http://www.jstatsoft.org/https://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttps://media.readthedocs.org/pdf/a-little-book-of-r-for-biomedical-statistics/latest/a-little-book-of-r-for-biomedical-statistics.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdfhttp://www.e-reading.org.ua/bookreader.php/137398/Software_for_Data_Analysis_-_Programming_with_R.pdf


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Bibliography 2

Matloff N,The Art of R Programming (No starch press, San Francisco, 2011)

One of my favorites references covering both elementary and up to dateapplications in R.

The R Journal, http://journal.r-project.org/

Papers available from repository since 2001.

Spector P, Data Manipulation with R (Springer, 2008)

Nice little book with good practical examples on special topics.

Torgo L, Data Mining with R (CRC Press, Boca Raton, FL, 2011)

Good selected topics on data mining with R.

http://journal.r-project.org/http://journal.r-project.org/http://journal.r-project.org/http://journal.r-project.org/http://journal.r-project.org/


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Bibliography 3

Venables, WN, and Smith DM (2012) An introuduction to R:http://cran.r-project.org/doc/manuals/R-intro.pdf

The classic reference, to learn R I prefer Lams work. But use what

fits you best.

Williams, G, Data Mining with Rattle and R (Springer, 2011)

Excellent book on data mining. Also the rattle IDE is very good.

Witten IH, Frank E, and Hall M, Data Mining practical machinelearning tools and techniques (MK, Amsterdan, 2011) 3rdEd.
http://cran.r-project.org/doc/manuals/R-intro.pdfhttp://cran.r-project.org/doc/manuals/R-intro.pdfhttp://cran.r-project.org/doc/manuals/R-intro.pdfhttp://cran.r-project.org/doc/manuals/R-intro.pdfhttp://cran.r-project.org/doc/manuals/R-intro.pdfhttp://cran.r-project.org/doc/manuals/R-intro.pdf

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